Objective:To investigate the feasibility of flight fatigue being detected via photoplethysmography (PPG) and regional cerebral oxygen saturation (rScO 2) in order to address the challenges posed by flight fatigue during prolonged or multiple consecutive flights. Methods:A total of 16 healthy male volunteers were enrolled. A wireless cerebral oximetry monitor headband was employed to collect PPG and rScO 2 data from the forehead while a multi-lead physiological data acquisition system was used concurrently to record three-lead electrocardiograms (ECGs). After 18 h of sleep deprivation, each volunteer performed a flight-simulating task, which was divided into 4 stages: the baseline period (T1), relaxation period (T2), early fatigue period (T3) and severe fatigue period (T4). Five-minute data was collected from each stage for analysis using AcqKnowledge 6.0. Heart rate (HR) and 3 HR variability (HRV) metrics, namely standard deviation of NN intervals (SDNN), root mean square of successive differences (RMSSD), and low frequency to high frequency power ratio (LF/HF), were computed independently from both ECG and PPG traces. The mean rScO 2 value for each stage was used to represent the cerebral oxygen saturation during that stage. The intra-class correlation coefficient (ICC) was employed to assess the consistency of the measurements, and the differences in HR and HRV indicators of the volunteers in the 4 stages of the experiment were analyzed. Results:The HR measured by ECG and PPG was highly consistent across the 4 stages among the 14 volunteers ( ICC=0.951, 0.963, 0.962, 0.963, P=0.013, 0.011, 0.021, 0.015), so were SDNN, RMSSD and LF/HF values ( ICC=0.935-0.983, all P<0.05). HR values calculated with either method showed significant differences across the 4 stages in the 14 volunteers ( F=21.63, 20.52, P=0.007, 0.008). HR gradually declined from T1 to T4, and was significantly lower at T4 than at T1 ( P=0.011, 0.009). There were significant differences in SDNN ( F=22.31, 24.26, P=0.006, 0.003), RMSSD ( F=22.30, 22.26, P=0.006, 0.006), and LF/HF ( F=20.37, 25.13, P=0.009, 0.002) across the 4 stages among the 14 volunteers. SDNN and RMSSD kept increasing as fatigue was intensified, while LF/HF decreased correspondingly. Statistically significant differences were found in SDNN, RMSSD and LF/HF values between T4 and T1 (all P<0.01). rScO 2 measured during the flight-simulating trial also differed significantly across the 4 stages ( F=21.39, P=0.007). rScO? at both T3 and T4 was significantly lower than at T1 ( P=0.009, 0.007). Conclusions:PPG can replace ECG for monitoring HR and HRV indicators under flight fatigue. Furthermore, the combination of PPG with rScO 2 monitoring allows for earlier detection of flight fatigue. This study is expected to offer a user-friendly and non-invasive approach to management of pilot fatigue.

Objective:To investigate the feasibility of flight fatigue being detected via photoplethysmography (PPG) and regional cerebral oxygen saturation (rScO 2) in order to address the challenges posed by flight fatigue during prolonged or multiple consecutive flights. Methods:A total of 16 healthy male volunteers were enrolled. A wireless cerebral oximetry monitor headband was employed to collect PPG and rScO 2 data from the forehead while a multi-lead physiological data acquisition system was used concurrently to record three-lead electrocardiograms (ECGs). After 18 h of sleep deprivation, each volunteer performed a flight-simulating task, which was divided into 4 stages: the baseline period (T1), relaxation period (T2), early fatigue period (T3) and severe fatigue period (T4). Five-minute data was collected from each stage for analysis using AcqKnowledge 6.0. Heart rate (HR) and 3 HR variability (HRV) metrics, namely standard deviation of NN intervals (SDNN), root mean square of successive differences (RMSSD), and low frequency to high frequency power ratio (LF/HF), were computed independently from both ECG and PPG traces. The mean rScO 2 value for each stage was used to represent the cerebral oxygen saturation during that stage. The intra-class correlation coefficient (ICC) was employed to assess the consistency of the measurements, and the differences in HR and HRV indicators of the volunteers in the 4 stages of the experiment were analyzed. Results:The HR measured by ECG and PPG was highly consistent across the 4 stages among the 14 volunteers ( ICC=0.951, 0.963, 0.962, 0.963, P=0.013, 0.011, 0.021, 0.015), so were SDNN, RMSSD and LF/HF values ( ICC=0.935-0.983, all P<0.05). HR values calculated with either method showed significant differences across the 4 stages in the 14 volunteers ( F=21.63, 20.52, P=0.007, 0.008). HR gradually declined from T1 to T4, and was significantly lower at T4 than at T1 ( P=0.011, 0.009). There were significant differences in SDNN ( F=22.31, 24.26, P=0.006, 0.003), RMSSD ( F=22.30, 22.26, P=0.006, 0.006), and LF/HF ( F=20.37, 25.13, P=0.009, 0.002) across the 4 stages among the 14 volunteers. SDNN and RMSSD kept increasing as fatigue was intensified, while LF/HF decreased correspondingly. Statistically significant differences were found in SDNN, RMSSD and LF/HF values between T4 and T1 (all P<0.01). rScO 2 measured during the flight-simulating trial also differed significantly across the 4 stages ( F=21.39, P=0.007). rScO? at both T3 and T4 was significantly lower than at T1 ( P=0.009, 0.007). Conclusions:PPG can replace ECG for monitoring HR and HRV indicators under flight fatigue. Furthermore, the combination of PPG with rScO 2 monitoring allows for earlier detection of flight fatigue. This study is expected to offer a user-friendly and non-invasive approach to management of pilot fatigue.

Breast cancer is the commonest malignant tumor among Chinese females, ranking first in terms of incidence of female cancers. Commissioned by the Disease Prevention and Control Bureau of National Health Commission of the People′s Republic of China, the National Cancer Center formulated the Guideline for Screening and Early Diagnosis and Treatment of Female Breast Cancer in China according to WHO Handbook for Guideline Development. The methods on Cochrane China were referred to for the formulation of the system evaluation procedures. The GRADE methods for assessment, formulation and evaluation were adopted for the classification of evidence quality and recommendation strength, and the items were reported according to Reporting Items for Practice Guidelines in Healthcare. Based on the results of evaluation, the guideline gives evidence-based recommendations for the appropriate population and technical procedures for breast cancer screening and early diagnosis and treatment after comprehensive consideration of China′s national conditions, the advantages and disadvantages of the evidence, the quality of the evidence, the economic cost of screening, the feedback of multidisciplinary clinical research respondents, and in-person expert consensus. It is aimed at regulating the practices of female breast cancer screening and early diagnosis and treatment and enhancing the effectiveness of the prevention and control of female breast cancer in China.

Breast cancer is the commonest malignant tumor among Chinese females, ranking first in terms of incidence of female cancers. Commissioned by the Disease Prevention and Control Bureau of National Health Commission of the People′s Republic of China, the National Cancer Center formulated the Guideline for Screening and Early Diagnosis and Treatment of Female Breast Cancer in China according to WHO Handbook for Guideline Development. The methods on Cochrane China were referred to for the formulation of the system evaluation procedures. The GRADE methods for assessment, formulation and evaluation were adopted for the classification of evidence quality and recommendation strength, and the items were reported according to Reporting Items for Practice Guidelines in Healthcare. Based on the results of evaluation, the guideline gives evidence-based recommendations for the appropriate population and technical procedures for breast cancer screening and early diagnosis and treatment after comprehensive consideration of China′s national conditions, the advantages and disadvantages of the evidence, the quality of the evidence, the economic cost of screening, the feedback of multidisciplinary clinical research respondents, and in-person expert consensus. It is aimed at regulating the practices of female breast cancer screening and early diagnosis and treatment and enhancing the effectiveness of the prevention and control of female breast cancer in China.

BACKGROUND: An increasing number of publications are drawing attention to the associations between six common polymorphisms in HOX transcript anti-sense RNA (HOTAIR) and the risk of cancers, while these results have been controversial and inconsistent. We conducted an up-to-date meta-analysis to pool eligible studies and to further explore the possible relationships between HOTAIR polymorphisms (rs920778, rs7958904, rs12826786, 4,759,314, rs874945, and rs1899663) and cancer risk. METHODS: A systematic retrieval was conducted up to 1 July 2017 in the PubMed, Web of Science, and CNKI databases. Eighteen eligible publications including 45 case-control studies with 58,601subjects were enrolled for assessing the associations between the 6 polymorphisms in HOTAIR and cancer risk. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were analyzed to reveal the polymorphisms and susceptibility to cancer. All the statistical analyses were performed using STATA 11.0 software. RESULTS: The pooled analyses detected significant associations between the rs920778 polymorphism and increased susceptibility to cancer in recessive, dominant, allelic, homozygous, and heterozygous models. For the rs7958904 polymorphism, we obtained the polymorphism significantly decreased susceptibility to overall cancer risk among five genetic models rather than recessive and homozygous models. For the rs12826786 polymorphism, we identified it significantly increased susceptibility to cancer risk in all genetic models rather than heterozygous models. However, no significant association was found between the rs1899663, rs874945, and rs4759314 polymorphisms and susceptibility of cancer. CONCLUSION These findings of the meta-analysis suggest that HOTAIR polymorphism may contribute to cancer susceptibility.
Genetic Predisposition to Disease ; epidemiology ; Genotype ; Humans ; Neoplasms ; epidemiology ; genetics ; Odds Ratio ; Polymorphism, Single Nucleotide ; RNA, Long Noncoding ; genetics ; metabolism ; Risk Factors

Internct has provided abundant resources for teaching,but it also brings two challenges,information overload and knowledge fragmentation.Under the environment of Internct,only by efficient course designs,can teachers deal with these two new challenges,and attract students' attentions and motivate their learning interests.Among teaching designs,the design of teaching ‘opening speech’ is quite important.During the course construction of Epidemiology in China Medical University,design strategies on opening speech were explored;the principles of opening speech design were determined.And the opening speeches were designed and cumulated for the teaching modules of Epidemiology.Furthermore,the skills of opening speech design were summarized.

Objective To explore the prospect of nonlinear autoregressive neural network in fitting and predicting the incidence tendency of hemorrhagic fever with renal syndrome (HFRS),in the mainland of China.Methods Monthly reported case series of HFRS in China from 2004 to 2013 were used to build both ARIMA and NAR neural network models,in order to predict the monthly incidence of HFRS in China in 2014.Fitness and prediction on the effects of these two models were compared.Results For the Fitting dataset,MAE,RMSE and MAPE of the ARIMA model were 148.058,272.077 and 12.678％ respectively,while the MAE,RMSE and MAPE of NAR neural network appeared as 119.436,186.671 and 11.778％ respectively.For the Predicting dataset,MAE,RMSE and MAPE of the ARIMA model appeared as 189.088,221.133 and 21.296％,while the MAE,RMSE and MAPE of the NAR neural network as 119.733,151.329 and 11.431％ respectively.Conclusion The NAR neural network showed better effects in fitting and predicting the incidence tendency of HFRS than using the traditional ARIMA model,in China.NAR neural network seemed to have strong application value in the prevention and control of HFRS.

Objective To investigate the spatio-temporal distribution characteristics of syphilis epidemic in Main-land China in 2005-2011.Methods Geographic information system was established based on the data of syphilis epidemic and demographic information from online reporting system of 3 1 provinces,municipalities and autonomous regions of Mainland China from 2005 to 2011,global indication of spatial autocorrelation(GISA),local indication of spatial autocorrelation (LISA),and spatial-temporal cluster analysis were conducted by GeoDa 0.95i and SaTScan 9.1 .1 software,high risk areas of spatial-temporal distribution of syphilis were determined.Results The number of syphilis in Mainland China in 2005-2011 were 1 841 217 cases,annual incidence was 20.07/100 000,suggesting a sign of obvious cluster distribution.Except 2011,GISA coefficient Moran’s I were statistically different.Accord-ing to LISA analysis,Jiangsu,Shanghai,Zhejiang and Fujian lay in high-high region in 2005-2009,Chongqing lay in high-low region in 2006-2008,and in 2011,no area was found in high-high region.Spatio-temporal cluster anal-ysis showed that the most likely cluster was in Shanghai and Zhejiang (2009-2011);the secondary cluster distribu-ted in five areas,including Guangdong,Guangxi and Hainan (2009-2011),Xinjiang (2009-2011),Liaoning and Jilin (2010-2011),Gansu,Ningxia,Shaanxi,Sichuan,Chongqing,Shanxi and Inner Mongolia (2011),Beijing and Tianjin (2008-2010).Conclusion Significant spatio-temporal cluster pattern is found for the distribution of syphilis in mainland China,which can be meaningful for pertinent control.

Objective To understand the epidemiologic characteristics and pathogenic virus of cases of viral diarrhea in sentinel hospitals in Liaoning Province.Methods From Jan 2009 to Dec 2011,639 stool samples from sentinel hospitals of Liaoning Province were collected.Rotavirus,human calicivirus,astrovirus and adenovirus were detected by polymerase chain reaction and reverse transcriptase-polymerase chain reaction.The data analysis used chi-squanetest and Fisher's exact test.Results Rotavirus,human calicivirus,astrovirus and adenovirus were detected in 15.96 ％,11.25 ％,1.25％ and 0.31％ of the 639 specimens,respectively.G3 was the most prevailing serotype and P[8] was the most common genotype among 101 group A rotavirus isolates.One strain of group C rotavirus was also detected,which was reported for the first time from Liaoning Province.Phylogenetic analysis showed that this group C rotavirus JX407109 in the present study had the closest genetic relationship with the outbreak strain AB648916 from Japan,with nucleotide sequence consistency of 99 ％.Among the 72 samples of human calicivirus,70 samples were norovirus with G Ⅱ/4 being the predominant genotype,and 2 samples were sapovirus.Astrovirus was detected in 8 samples,most of which were genotype 1.Adenovirus was detected in 2 samples,and both were genotype 41.High incidences of viral diarrhea were noted during the months from December to next year February,and children under 5 years of age had high incidence of rotavirus and astrovirus,while the incidence of calicivirus were similar among different age groups.Conclusions The predominant pathogens of viral diarrhea in Liaoning Province are group A rotavirus and calicivirus.Notably,the group C rotavirus in Liaoning Province shares high genetic consistency with the outbreak strain from Japan.

objective To understand the baseline data of mortality from malignant tumor from 2006 to 2009 around Hongyanhe Nuclear Power Plant in Wafangdian City,Liaoning Province,so as to provide scientific basis for evaluating the impact of normal operation of nuclear power plant on the health of the residents nearby.Methods Thirty small towns near Hongyanhe Nuclear Power Plant were divided into 5 investigated areas according to the distances away therefrom(0.,10.,20-,30-,and 40-km).The data about from malignant tumor were obtained from the Center for Disease Control and Prevention of Wafangdian.The mortality distribution of difierent malignant tumors was analyzed,including the radiosensitive malignant tumors,especially leukemia,breast cancer,and thyroid gland cancer in different area,gender,and age groups.Results The mortality from malignant tumor was 151.97/105,and the standardized mortality rate(SMR)was 97.76/105.The mortality from malignant tumor among the males was 188.28/105(with the SMR of 116.76/105),and that among the females was 113.47/105(with the SMR of 75.89/105).with a sex ratio of 1.71.The first five cancers in the rank of death causes were lung,liver,stomach,colorectal,and esophageal cancers with mortality of 46.19/105,23.51/105,20.30/105,8.06/105 and 5.45/105,respectively.The mortality from mal.ignant tumor in the areas around the nuclear power plant from the near to the distant were 99.85/105, 137.40/105,138.73/105,156.30/105,and 154.16/105,respectively.The mortality from radiosensitive malignant tumors,leukemia,breast cancer,and thyroid gland cancer were 4.57/105,4.06/105,and 0.26/105,respectively.Conclusions Lung cancer and digestive tract malignant tumors are the main causes of death from malignant tumors in Wafangdian area before the nuclear power plant began to operate.There are no significant differences in the mortality distribution of malignant tumors among different areas,genders,and age groups.There are not significant differences in the mortality distribution of leukemia and breast cancer among different areas and age groups.